TY - JOUR
AU1 - Heilmann, W.‐R.
AU2 - Lienert, G. A.
AU3 - Maly, V.
AB - Configural frequency analysis models are presented for predicting a discrete criterion variable from combining 2 or more discrete predictor variables nonparametrically. Predictions are made via so‐called prediction types which allow to predict a criterion class from combined predictor classes. Prediction types are implicitely defined as cells of a 2‐dimensional contingeney table with rows as predictor combinations and columns as criterion classes. The CFA is extended for two criteria, and for stratified sampling.
TI - Prediction Models in Configural Frequency Analysis
JF - Biometrical Journal
DO - 10.1002/bimj.4710210110
DA - 1979-01-01
UR - https://www.deepdyve.com/lp/wiley/prediction-models-in-configural-frequency-analysis-M0eWq7zg8C
SP - 79
EP - 86
VL - 21
IS - 1
DP - DeepDyve
ER -